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Hive QA commented on HIVE-9188: ------------------------------- {color:green}Overall{color}: +1 all checks pass Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12690039/HIVE-9188.4.patch {color:green}SUCCESS:{color} +1 6748 tests passed Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2250/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2250/console Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2250/ Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase {noformat} This message is automatically generated. ATTACHMENT ID: 12690039 - PreCommit-HIVE-TRUNK-Build > BloomFilter in ORC row group index > ---------------------------------- > > Key: HIVE-9188 > URL: https://issues.apache.org/jira/browse/HIVE-9188 > Project: Hive > Issue Type: New Feature > Components: File Formats > Affects Versions: 0.15.0 > Reporter: Prasanth Jayachandran > Assignee: Prasanth Jayachandran > Labels: orcfile > Attachments: HIVE-9188.1.patch, HIVE-9188.2.patch, HIVE-9188.3.patch, > HIVE-9188.4.patch > > > BloomFilters are well known probabilistic data structure for set membership > checking. We can use bloom filters in ORC index for better row group pruning. > Currently, ORC row group index uses min/max statistics to eliminate row > groups (stripes as well) that do not satisfy predicate condition specified in > the query. But in some cases, the efficiency of min/max based elimination is > not optimal (unsorted columns with wide range of entries). Bloom filters can > be an effective and efficient alternative for row group/split elimination for > point queries or queries with IN clause. -- This message was sent by Atlassian JIRA (v6.3.4#6332)